Amazon Neptune Integrations

There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.

G.V() is an all-in-one Gremlin IDE to write, debug, test and analyze results for your Gremlin graph database. It offers rich a UI with smart autocomplete, graph visualization, editing and connection management. G.V() automatically detects your connection setting requirements based on the hostname you provide and prompts you for the next required information for an easy onboarding experience, regardless of which Gremlin database you're using. Load, visualize and draw your graph in true “What You See Is What You Get” fashion to build, test, visualize and query your data easily. Learn Gremlin with the embedded documentation and G.V()'s in-memory graph. View your Gremlin query results in various formats allowing to test, navigate and understand your query results rapidly. Compatible with all major Apache TinkerPop enabled Graph Database Providers: Amazon Neptune, Azure Cosmos DB’s Gremlin API, DataStax Enterprise Graph, JanusGraph, ArcadeDB, Aliyun TairForGraph and Gremlin Server.

KgBase, or Knowledge Graph Base, is a collaborative, robust database with versioning, analytics & visualizations. With KgBase, any community or individual can create knowledge graphs to build insights about their data. Import your CSVs and spreadsheets, or use our API to work on data together. Build no-code knowledge graphs with KgBase, our easy-to-use UI lets you traverse the graph, show the results as tables and charts, and much more. Play with your graph data. Build your query and see results update in real time. It's like writing query code in Cypher or Gremlin, except easier. And fast. Your graph can be viewed as a table, allowing you to browse all results - no matter the size. KgBase works great with large graphs (millions of nodes), as well as simple projects. In the cloud, or self-hosted, with wide database support. Introduce graphs into your organization by seeding graph from a template. Results of any query can be easily turned into a chart visualization.

AWS App Mesh is a service mesh that provides application-level networking to facilitate communication between your services across various types of computing infrastructure. App Mesh offers comprehensive visibility and high availability for your applications. Modern applications are generally made up of multiple services. Each service can be developed using various types of compute infrastructure, such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the number of services within an application grows, it becomes difficult to pinpoint the exact location of errors, redirect traffic after errors, and safely implement code changes. Previously, this required creating monitoring and control logic directly in your code and redeploying your services every time there were changes.

Amazon QLDB is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. Amazon QLDB can be used to track each and every application data change and maintains a complete and verifiable history of changes over time. Ledgers are typically used to record a history of economic and financial activity in an organization. Many organizations build applications with ledger-like functionality because they want to maintain an accurate history of their applications' data, for example, tracking the history of credits and debits in banking transactions, verifying the data lineage of an insurance claim, or tracing movement of an item in a supply chain network. Amazon QLDB is a new class of database that eliminates the need to engage in the complex development effort of building your own ledger-like applications.

Build game-changing graph visualization products that turn connected data into insight. Harness JavaScript’s power and flexibility to quickly and easily build graph visualization applications that can be deployed anywhere, to anyone. KeyLines is a completely flexible way to build your graph visualization application. Build interactive graph visualization tools to reveal threats and hidden insight. The KeyLines JavaScript graph visualization toolkit lets you build applications specifically for your users, your data, and the questions you need to answer. It fits with any browser, device, server, or database and comes with clear tutorials, demos, and API documentation. Combined with our developer support, you’ll be uncovering network insight in no time. KeyLines makes it easy to build high-performance JavaScript graph visualization tools that work anywhere. They harness HTML5 and WebGL graphics rendering and thoughtfully crafted code to give users fast and insightful visualization.

Build game-changing React graph visualization products that turn connected data into insight. With ReGraph’s simple data-driven API, it’s quick and easy to add graph visualizations to your React applications. Ship custom, high-performance graph visualization to your users, wherever they are. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling, and well-documented props. You can choose where your data is stored, and how the component looks and behaves. It works in any browser, on any device, and integrates readily with any server or database. It’s a completely flexible way to build a custom React graph visualization application. ReGraph makes it easy to build powerful React graph visualization applications. Everything has been carefully optimized for performance, from its layout algorithms to its supercharged graphics rendering engine.

AWS Marketplace is a curated digital catalog that enables customers to discover, purchase, deploy, and manage third-party software, data products, AI agents, and services directly within the AWS ecosystem. It provides access to thousands of listings across categories like security, machine learning, business applications, and DevOps tools. With flexible pricing models such as pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace simplifies procurement and billing by integrating costs into a single AWS invoice. It also supports rapid deployment with pre-configured software that can be launched on AWS infrastructure. This streamlined approach allows businesses to accelerate innovation, reduce time-to-market, and maintain better control over software usage and costs.

metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence. Out-of-the-box, intuitive interfaces for searching, browsing & exploring your Knowledge Graph. Low-code approach to building custom interfaces that enable business-user interaction with the Knowledge Graph. Start small, iterate often & add new use cases, new data and new users on the fly. Agile knowledge management & low-code platform for building applications.

Tom Sawyer Perspectives is a robust platform for building enterprise-class graph and data visualization and analysis applications. It is a complete graph visualization software development kit (SDK) with a graphics-based design and preview environment. The platform integrates enterprise data sources with our powerful graph visualization, layout, and analysis technology to solve big data problems. Tom Sawyer Perspectives enables developers to quickly develop production-quality data-oriented visualization applications. Two graphic modules—the Designer and Previewer—are used to build applications to visualize and analyze the specific data that drives each project. Using the Designer, developers extract or define schema, data sources, bindings, rules, views, filters, and searches. Additionally, they can also use the Designer to specify custom toolbars, tooltips, context menus, and graphical viewing and editing behaviors.